HCLTech and NetApp have broadened their partnership to deliver a hybrid cloud storage-as-a-service (STaaS) solution aimed at accelerating enterprise AI adoption in India. By integrating HCLTech’s digital infrastructure framework with NetApp’s flexible pay-as-you-go storage, the joint offering helps organizations manage data demands while scaling AI applications efficiently.
- Hybrid cloud model supports AI and traditional data workloads concurrently
- Consumption-based pay-as-you-go storage reduces upfront capital expenses
- Solution addresses data governance and regional regulatory requirements
What happened
HCLTech and NetApp have expanded their existing partnership to deliver a hybrid cloud storage-as-a-service solution designed specifically for enterprise AI needs. This initiative combines HCLTech's Utility for Everything (U4X) framework with NetApp Keystone’s pay-as-you-go storage services, creating a flexible infrastructure that adapts to changing data and operational requirements.
This collaboration supports enterprises in moving from initial AI experimentation to full-scale deployment by linking consumption-based infrastructure with comprehensive data management capabilities. It allows workloads to reside near storage locations to meet data governance standards and speed operational responsiveness.
Why it matters
As enterprises increasingly adopt artificial intelligence, the ability to efficiently manage data storage and processing is critical for scaling AI initiatives. The HCLTech and NetApp model lowers upfront investment risks by offering consumption-based pricing, making AI scaling more financially viable.
Furthermore, the solution integrates AI development and operational tools through HCLTech's AI Factory, enabling organizations to deploy generative AI applications pragmatically. It also helps enterprises comply with regional data governance and regulatory mandates by allowing workloads to be dynamically aligned with localized storage.
What to watch next
Market adoption of this hybrid cloud storage-as-a-service model will be key to watch, particularly how Indian enterprises respond to the flexibility and cost efficiency it promises. Pay attention to further commercial deployments in regulated industries like telecommunications and food and beverage sectors, which have already tested similar frameworks.
Additionally, ongoing enhancements to the integration between infrastructure consumption and AI operational capabilities will influence competitive positioning. HCLTech and NetApp’s ability to co-create technologies and business models that resonate with customers’ evolving AI priorities will be a critical factor in the partnership’s success.